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The foundational assumptions of policy diffusion relate to the behavior of individual policymakers. However, empirical tests of policy diffusion often focus on the behavior of governments as a whole (and not individuals). We provide a template for how to
Daniel M. Butler +2 more
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Determinants and Configurations of Open Scientific Data Policy Diffusion in China [PDF]
[Purpose/Significance] Open scientific data policies play a pivotal role in promoting the open sharing, unrestricted access to, and reuse of scientific data, thereby enhancing research efficiency and driving innovation.
CHI Yuzhuo, ZHANG Bing
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Policy transfer, diffusion and circulation studies are a fertile ground for innovation in public policy analysis. In a globalized world, where state boundaries are permeable and public policy travels transnationally, the diffusion of policies is what ...
Osmany Porto de Oliveira, Leslie A. Pal
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BackgroundPolicy pilots and policy diffusion are important tools for national governance and policy innovation in China. Long-term care insurance (LTCI) offers a potential solution to the challenges posed by the aging population.
Peixin Duan +5 more
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As a new generation of urban water management concepts, sponge city (SC) initiative proposed by China plays the pivotal role in mitigating flood risk, combating climate change, and enhancing environmental resilience. The diffusion patterns and mechanisms
Chen Qian, Shupeng Lyu
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D2PPO: Diffusion Policy Policy Optimization with Dispersive Loss
Diffusion policies excel at robotic manipulation by naturally modeling multimodal action distributions in high-dimensional spaces. Nevertheless, diffusion policies suffer from diffusion representation collapse: semantically similar observations are mapped to indistinguishable features, ultimately impairing their ability to handle subtle but critical ...
Guowei Zou +5 more
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Why do certain frames gain prominence while others become marginalized in public discourse about emerging technologies? Existing research shows that policy adoption serves as a powerful discursive signal that shapes how issues are interpreted.
Sang-Teck Oh
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Diffusion Policy through Conditional Proximal Policy Optimization
Reinforcement learning (RL) has been extensively employed in a wide range of decision-making problems, such as games and robotics. Recently, diffusion policies have shown strong potential in modeling multi-modal behaviors, enabling more diverse and flexible action generation compared to the conventional Gaussian policy.
Ben Liu, Shunpeng Yang, Hua Chen 0007
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Simple Is Better for Local Beverage Tax Policy Diffusion. [PDF]
Bleich SN, Long MW.
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Research on Policy Diffusion of the Appointment System of Teachers in Compulsory Education in China
The appointment system of teachers in compulsory education is a strategic institutional arrangement for the employment of teachers in China. This study selected 1330 policy documents related to the appointment system of teachers in compulsory education ...
Jia Chao, Li Baoqiang
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